That makes that part of the argument in her post a kind of straw man.
You're clearly entirely unaware of the context of any of the diversity conversations that have gone on in tech in the last 5-10 yrs, including those internally and externally at Google. You're correct that expecting employer demographics to immediately exactly reflect US population demographics is stupid. You're wildly incorrect that it's uncommon.
As just one example of the top of my head, Google released their diversity a couple of years ago and coverage was almost universally: "Google has a serious diversity problem", "Google needs to do a lot better".
The actual gender numbers? Non technical employees were split down the middle and technical employees almost exactly reflected percent of CS degrees by gender.
Something isn't a straw man if it's an argument that's constantly made and carries a lot of influence.
tptacek is, uh, not someone those words apply to. He's been involved in these discussions for the last half decade on HN, one of the key industry forums. He's run part of hiring programs at a previous employer, and founded a startup oriented on improving engineering hiring.
Politely, sir, take a deep breath. You might disagree with him, but you might want to be careful with your assumptions there.
I wasn't saying this just as a throwaway insult. It's just that calling something a strawman (as he does downthread) depends on confidently asserting that nobody could ever _possibly_ support such a ridiculous claim. That very much doesn't fit with the experience of many of the people here,including those of us who have worked for Google now or in the past.
> Politely, sir, take a deep breath.
Haha, thanks, but I'm not sure where the assumption that I'm worked up about this comes from. The only thing in my comment that approaches impoliteness is assuming that he's not familiar enough with the conversations around tech hiring at big companies, which seemed like the only plausible explanation for thinking that no one could possibly be making the argument he calls a "strawman".
I'm honestly still not sure what an alternative explanation would be.
Unless you take all candidates, you are back to reducing the pool to a more manageable size, presumably using classic interview techniques.
And unless the mentors are biased, this still doesn't change the fact that your hires as a population will be similar to the applicants.
Will they? What if women stay in their roles longer than men? Then, you would less often be replacing women.
If men more often apply to new jobs, that could explain why the candidate ratio is more skewed than the ratio of actual workers.
> But I was working with a candidate pool composed of 90% men. Try software engineers with experience in sensors, wireless and hardware stacks before angrily correcting my stats there.
I mean, if men are more often "candidates" for moving between jobs, then it would, right?
If that were true, then an employer wanting a more loyal or longer term employee might seek out more women.
[1] I have no evidence for any of this.